An Analysis of 900 Data Science Interview Questions | Data Science Interview Guide

In this video, we're analyzing 900 data science interview questions collected from a list of over 150 companies. I'll take you through the popular types of questions I found and the concepts that are tested on these data science interviews. So let's go over these 900 questions and find the better answers to the following two questions: 1. What's being asked on these data science interviews? 2. How can we best prepare for a data science interview? Link to the complete blog: https://www.stratascratch.com/blog/da... Link to example questions: Question by Microsoft: https://platform.stratascratch.com/co... Question by Instacart: https://platform.stratascratch.com/te... Question by Postmates: https://platform.stratascratch.com/co... Question by Affirm: https://platform.stratascratch.com/te... ______________________________________________________________________ 👉 Subscribe to my channel: https://bit.ly/2GsFxmA​ 👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81​ 👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ​ 👉 Practice more real data science interview questions: https://platform.stratascratch.com/co... ______________________________________________________________________ Timeline: Intro: (0:00​) Question Type Breakdown: (1:45​) Coding: (4:42​) Modeling: (6:53​) Algorithm: (8:33​) Conclusion: (10:20​) ______________________________________________________________________ If you want interview practice with real data science interview questions, visit https://platform.stratascratch.com/co.... All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans. ______________________________________________________________________ Contact: If you have any questions, comments, or feedback, please leave them here! Feel free to also email me at [email protected] ______________________________________________________________________ #DataScience #DataScienceInterviewGuide